Triple

T16324933
Position Surface form Disambiguated ID Type / Status
Subject Hara Sankei E396386 entity
Predicate nativeName P15 FINISHED
Object 原三溪
原三溪(Hara Sankei)は、横浜の実業家であり茶人・美術収集家としても知られ、三溪園を造園したことで著名な人物である。
E1207567 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 原三溪 | Statement: [Hara Sankei, nativeName, 原三溪]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 原三溪
Context triple: [Hara Sankei, nativeName, 原三溪]
  • A. 溪口
    溪口是位于中国浙江省奉化区的一个历史悠久的小镇,以自然风光和民俗文化闻名。
  • B. 上毛三山
    上毛三山は、群馬県を代表する名峰である赤城山・榛名山・妙義山の三つの山々を総称した呼び名である。
  • C. 西堤
    西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观,以其连桥叠景和湖山胜色著称。
  • D. 三条通
    三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
  • E. Xintian (新田)
    Xintian (新田) was an ancient Chinese city that served as the political and administrative center of the State of Jin during part of its history.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 原三溪
Triple: [Hara Sankei, nativeName, 原三溪]
Generated description
原三溪(Hara Sankei)は、横浜の実業家であり茶人・美術収集家としても知られ、三溪園を造園したことで著名な人物である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 原三溪
Target entity description: 原三溪(Hara Sankei)は、横浜の実業家であり茶人・美術収集家としても知られ、三溪園を造園したことで著名な人物である。
  • A. 溪口
    溪口是位于中国浙江省奉化区的一个历史悠久的小镇,以自然风光和民俗文化闻名。
  • B. 上毛三山
    上毛三山は、群馬県を代表する名峰である赤城山・榛名山・妙義山の三つの山々を総称した呼び名である。
  • C. 西堤
    西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观,以其连桥叠景和湖山胜色著称。
  • D. 三条通
    三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
  • E. Xintian (新田)
    Xintian (新田) was an ancient Chinese city that served as the political and administrative center of the State of Jin during part of its history.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b9dcb88190beb0ca2206729175 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ca9f08190aa95560fea482dd4 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0027a095508190b7c6fd56af289e7b completed May 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_6a00282d9b0c81908031404c41b3baa5 completed May 10, 2026, 6:39 a.m.
Created at: April 10, 2026, 5:06 a.m.